Database Engineer - Intermediate

Database Engineer - Intermediate will be actively involved in the evaluation, review, and management of databases. You will be part of a team that supports a range of applications and databases. You should be well versed in database administration which includes installation, performance tuning, and troubleshooting. A strong candidate will be able to rapidly troubleshoot complex technical problems under pressure, implement scalable solutions, and manage multiple customer groups.

• Support large-scale enterprise data solutions with a focus on high availability, low latency and scalability.
• Provide documentation and automation capabilities for Disaster Recovery as part of application deployment.
• Build infrastructure as code (IAC) patterns that meet security and engineering standards using one or more technologies (Terraform, scripting with cloud CLI, and programming with cloud SDK).
• Build CI/CD pipelines for build, test and deployment of application and cloud architecture patterns, using platform (Jenkins) and cloud-native tool chains.
• Knowledge of the configuration of monitoring solutions and the creation of dashboards (DPA, Data Dog, Big Panda, Prometheus, Grafana, Log Analytics, Chao Search).

• BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent job experience required.
• Current experience in database administration, system administration, performance tuning and automation.
• Experience developing and/or administering software in public cloud.
• Experience in managing Traditional databases like SQL Server/Oracle/Postgres/MySQL and providing 24
  * 7 support.
• Experience in implementing and managing Infrastructure as Code (e.g., Terraform, Python, Chef) and source code repository (Git Hub).
• Demonstrable cross‑functional knowledge with systems, storage, networking, security and databases.
• Experience in designing and building production data pipelines from data ingestion to consumption within a hybrid big data architecture, using Cloud Native GCP, Java, Python, Scala, SQL etc.
• Proficiency with continuous integration and continuous delivery tooling and practices.
• Cloud Certification strongly preferred.

• Automation – Uses knowledge of best practices in coding to build pipelines for build, test and deployment of processes/components; understands technology trends and uses knowledge to identify factors that can be used to automate system/process deployments.
• Data / Database Management – Uses knowledge of database operations and applies engineering skills to improve resilience of products/services. Designs, codes, verifies, tests, documents, modifies programs/scripts and integrates software services; applies industry best standards and tools to achieve a well‑engineered result.
• Operational Excellence – Prioritizes and organizes own work; monitors and measures systems against key metrics to ensure availability of systems; identifies new ways of working to make processes run smoother and faster.
• Technical Communication/Presentation – Explains technical information and the impacts to stakeholders and articulates the case for action; demonstrates strong written and verbal communication skills.
• Troubleshooting – Applies a methodical approach to routine issue definition and resolution; monitors actions to investigate and resolve problems in systems, processes and services; determines problem fixes/remedies. Assists with the implementation of agreed remedies and preventative measures; analyzes patterns and trends.

Salary: £37,500 + Benefits

Mid‑Senior level

Full‑time

Information Technology